Pub Date : 2024-08-23DOI: 10.1016/j.geosus.2024.08.001
Trees provide multiple ecosystem services such as carbon sequestration, hydrological regulation and habitat for arboreal animals. However, they are often removed to support agricultural enterprises. Despite the importance of tree remnants, we know relatively little about how soils differ across sites of varying condition. Here, we describe a study where we examined the relative effects of trees, compared with unvegetated interspaces, on soil functions in remnant patches at sites in good and poor condition in two eucalypt communities in an irrigation area in eastern Australia. We found that, in general, carbon and nutrient cycling were relatively greater beneath trees, and in surface soils, but there were no clear trends in relation to site condition. The values of most soil attributes (e.g., soluble and exchangeable cations, nitrogen, phosphorus) were greater beneath trees, indicating strong fertile island effects in both communities. Overall, our study confirms the importance of trees in remnant patches in agricultural landscapes, particularly those in sites of poor condition. It also suggests that soil processes may still be relatively intact, even in sites in poor condition. Our study reinforces the need to protect trees in remnant woodland reserves to maintain critical ecosystem functions related to nutrient retention. These remnants are important for achieving sustainable management of agricultural systems.
{"title":"Trees support functional soils in a dryland agricultural area","authors":"","doi":"10.1016/j.geosus.2024.08.001","DOIUrl":"10.1016/j.geosus.2024.08.001","url":null,"abstract":"<div><p>Trees provide multiple ecosystem services such as carbon sequestration, hydrological regulation and habitat for arboreal animals. However, they are often removed to support agricultural enterprises. Despite the importance of tree remnants, we know relatively little about how soils differ across sites of varying condition. Here, we describe a study where we examined the relative effects of trees, compared with unvegetated interspaces, on soil functions in remnant patches at sites in good and poor condition in two eucalypt communities in an irrigation area in eastern Australia. We found that, in general, carbon and nutrient cycling were relatively greater beneath trees, and in surface soils, but there were no clear trends in relation to site condition. The values of most soil attributes (e.g., soluble and exchangeable cations, nitrogen, phosphorus) were greater beneath trees, indicating strong fertile island effects in both communities. Overall, our study confirms the importance of trees in remnant patches in agricultural landscapes, particularly those in sites of poor condition. It also suggests that soil processes may still be relatively intact, even in sites in poor condition. Our study reinforces the need to protect trees in remnant woodland reserves to maintain critical ecosystem functions related to nutrient retention. These remnants are important for achieving sustainable management of agricultural systems.</p></div>","PeriodicalId":52374,"journal":{"name":"Geography and Sustainability","volume":null,"pages":null},"PeriodicalIF":8.0,"publicationDate":"2024-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666683924000725/pdfft?md5=94a58e069b506fde8d8f4b64a544c9d2&pid=1-s2.0-S2666683924000725-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142147661","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-14DOI: 10.1016/j.geosus.2024.06.006
Climate change threatens China’s rice production, making it crucial to assess the impact of climate change and climate year type (CYT) on rice production across regions to safeguard food security. The impact of climate change under nine CYTs with different combinations of temperature and precipitation on two rice cropping systems, including single rice and double rice (early and late rice) was evaluated. The results indicate that: (1) the Northeast region was expected to undergo the greatest warming of 2.03–2.48 °C, and future climate conditions would be dominated by Warm-Humid, Warm-Normal, and Warm-Dry CYTs across all regions. (2) Climate change would significantly shorten anthesis days after sowing and maturity days after sowing of single rice by 6–12 days and 9–24 days, with little change observed for late rice (< 1 day). Late rice yield suffered more from climate change compared to single and early rice yield, declining by 8.8 %–16.13 %. (3) Different CYTs exhibited varying impacts on rice yields. Yields were projected to decrease by approximately 4.765 % to 18.645 % in Warm-Humid, Warm-Normal, and Warm-Dry CYTs. Conversely, the Northeast region was anticipated to experience an increase in yield. (4) Relationships between rice yield and meteorological factors varied by region, variety, and CYT. Among the nine CYTs, high killing degree days, mean daily temperature, mean solar radiation and warm spell duration index were the main factors influencing changes in rice yield, explaining nearly 80 % of yield change. Our results would help to develop adaptation strategies in different regions and rice cropping systems.
{"title":"Impact of climate change on rice growth and yield in China: Analysis based on climate year type","authors":"","doi":"10.1016/j.geosus.2024.06.006","DOIUrl":"10.1016/j.geosus.2024.06.006","url":null,"abstract":"<div><p>Climate change threatens China’s rice production, making it crucial to assess the impact of climate change and climate year type (CYT) on rice production across regions to safeguard food security. The impact of climate change under nine CYTs with different combinations of temperature and precipitation on two rice cropping systems, including single rice and double rice (early and late rice) was evaluated. The results indicate that: (1) the Northeast region was expected to undergo the greatest warming of 2.03–2.48 °C, and future climate conditions would be dominated by Warm-Humid, Warm-Normal, and Warm-Dry CYTs across all regions. (2) Climate change would significantly shorten anthesis days after sowing and maturity days after sowing of single rice by 6–12 days and 9–24 days, with little change observed for late rice (< 1 day). Late rice yield suffered more from climate change compared to single and early rice yield, declining by 8.8 %–16.13 %. (3) Different CYTs exhibited varying impacts on rice yields. Yields were projected to decrease by approximately 4.765 % to 18.645 % in Warm-Humid, Warm-Normal, and Warm-Dry CYTs. Conversely, the Northeast region was anticipated to experience an increase in yield. (4) Relationships between rice yield and meteorological factors varied by region, variety, and CYT. Among the nine CYTs, high killing degree days, mean daily temperature, mean solar radiation and warm spell duration index were the main factors influencing changes in rice yield, explaining nearly 80 % of yield change. Our results would help to develop adaptation strategies in different regions and rice cropping systems.</p></div>","PeriodicalId":52374,"journal":{"name":"Geography and Sustainability","volume":null,"pages":null},"PeriodicalIF":8.0,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666683924000622/pdfft?md5=c05f6958148d57c6c194034a0b39c0cf&pid=1-s2.0-S2666683924000622-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141990923","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-09DOI: 10.1016/j.geosus.2024.07.004
The ‘15-minute city’ (15minC) concept, which aspires to bring essential services within reach via a 15-minute walk for all residents, represents a pivotal paradigm shift in sustainable urban development. However, the achievability of this concept for different cities varies considerably across diverse population distributions, urban contexts, and development priorities. In this study, we propose a robust method for evaluating a city’s 15minC potential — a city’s capability to achieve widespread 15-minute accessibility while maintaining an optimal balance between resource efficiency and resident accessibility. We employ the Location Set Covering Problem optimization model to analyze the resources required to achieve full coverage of 15-minute accessibility and the knee point detection algorithm to assess a city’s 15minC potential. Across 23 major Chinese cities, our method exhibits a sharp sensitivity to delineate distinct 15minC potentials. It reveals that cities’ current 15minC development level doesn’t align with their inherent potential uniformly. Key determinants include how well current facility locations match population centers and the population density in remote areas. Further, reducing facility constructions by two-thirds has only a marginal impact on accessibility, emphasizing the need for tailored, data-driven planning in effective and sustainable urban development based on the distinct potentials of cities. Our approach prioritizes resource efficiency, minimizing the inefficient use of facilities that serve only a small portion of residents while maximizing the benefits of the 15minC and therefore has significant implications for a sustainable urban future.
{"title":"A robust method for evaluating the potentials of 15-minute cities: Implications for sustainable urban futures","authors":"","doi":"10.1016/j.geosus.2024.07.004","DOIUrl":"10.1016/j.geosus.2024.07.004","url":null,"abstract":"<div><p>The ‘15-minute city’ (15minC) concept, which aspires to bring essential services within reach via a 15-minute walk for all residents, represents a pivotal paradigm shift in sustainable urban development. However, the achievability of this concept for different cities varies considerably across diverse population distributions, urban contexts, and development priorities. In this study, we propose a robust method for evaluating a city’s 15minC potential — a city’s capability to achieve widespread 15-minute accessibility while maintaining an optimal balance between resource efficiency and resident accessibility. We employ the Location Set Covering Problem optimization model to analyze the resources required to achieve full coverage of 15-minute accessibility and the knee point detection algorithm to assess a city’s 15minC potential. Across 23 major Chinese cities, our method exhibits a sharp sensitivity to delineate distinct 15minC potentials. It reveals that cities’ current 15minC development level doesn’t align with their inherent potential uniformly. Key determinants include how well current facility locations match population centers and the population density in remote areas. Further, reducing facility constructions by two-thirds has only a marginal impact on accessibility, emphasizing the need for tailored, data-driven planning in effective and sustainable urban development based on the distinct potentials of cities. Our approach prioritizes resource efficiency, minimizing the inefficient use of facilities that serve only a small portion of residents while maximizing the benefits of the 15minC and therefore has significant implications for a sustainable urban future.</p></div>","PeriodicalId":52374,"journal":{"name":"Geography and Sustainability","volume":null,"pages":null},"PeriodicalIF":8.0,"publicationDate":"2024-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666683924000646/pdfft?md5=31e5b36a532fe9ecfe0fa6584437a15a&pid=1-s2.0-S2666683924000646-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142228958","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-29DOI: 10.1016/j.geosus.2024.07.003
This study aims to develop a system dynamic (SD) forecasting model based on the STIRPAT model to forecast the effect of an IDR 30 per kg CO2e carbon tax on carbon emissions, estimate future carbon emissions under ten scenarios, without and with the carbon tax, and estimate the environmental Kuznets curve (EKC) to predict Indonesia’s carbon emission peak. Carbon emission drivers in this study are decomposed into several factors, namely energy structure, energy intensity, industrial structure, GDP per capita, population, and fixed-asset investment. This study included nuclear power utilization starting in 2038. The research gaps addressed by this study compared to previous research are (1) use of the ex-ante approach, (2) inclusion of nuclear power plants, (3) testing the EKC hypothesis, and (4) contribution to government policy. The simulation results show that under the carbon tax, carbon emissions can be reduced by improving renewable energy structures, adjusting industrial structures to green businesses, and emphasizing fixed asset investment more environmentally friendly. Moreover, the result approved the EKC hypothesis. It shows an inverse U-shaped curve between GDP per capita and CO2 emissions in Indonesia. Indonesia’s fastest carbon emission peak is under scenario seven and is expected in 2040. Although an IDR 30 per kg CO2e carbon tax and nuclear power will take decades to reduce carbon emissions, the carbon tax can still be a reference and has advantages to implement. This result can be a good beginning step for Indonesia, which has yet to gain experience with a carbon tax that can be implemented immediately and is helpful to decision-makers in putting into practice sensible measures to attain Indonesia’s carbon emission peaking. This research provides actionable insights internationally on carbon tax policies, nuclear energy adoption, EKC dynamics, global policy implications, and fostering international cooperation for carbon emission reductions.
{"title":"Scenario analysis of the Indonesia carbon tax impact on carbon emissions using system dynamics modeling and STIRPAT model","authors":"","doi":"10.1016/j.geosus.2024.07.003","DOIUrl":"10.1016/j.geosus.2024.07.003","url":null,"abstract":"<div><p>This study aims to develop a system dynamic (SD) forecasting model based on the STIRPAT model to forecast the effect of an IDR 30 per kg CO<sub>2</sub>e carbon tax on carbon emissions, estimate future carbon emissions under ten scenarios, without and with the carbon tax, and estimate the environmental Kuznets curve (EKC) to predict Indonesia’s carbon emission peak. Carbon emission drivers in this study are decomposed into several factors, namely energy structure, energy intensity, industrial structure, GDP per capita, population, and fixed-asset investment. This study included nuclear power utilization starting in 2038. The research gaps addressed by this study compared to previous research are (1) use of the ex-ante approach, (2) inclusion of nuclear power plants, (3) testing the EKC hypothesis, and (4) contribution to government policy. The simulation results show that under the carbon tax, carbon emissions can be reduced by improving renewable energy structures, adjusting industrial structures to green businesses, and emphasizing fixed asset investment more environmentally friendly. Moreover, the result approved the EKC hypothesis. It shows an inverse U-shaped curve between GDP per capita and CO<sub>2</sub> emissions in Indonesia. Indonesia’s fastest carbon emission peak is under scenario seven and is expected in 2040. Although an IDR 30 per kg CO<sub>2</sub>e carbon tax and nuclear power will take decades to reduce carbon emissions, the carbon tax can still be a reference and has advantages to implement. This result can be a good beginning step for Indonesia, which has yet to gain experience with a carbon tax that can be implemented immediately and is helpful to decision-makers in putting into practice sensible measures to attain Indonesia’s carbon emission peaking. This research provides actionable insights internationally on carbon tax policies, nuclear energy adoption, EKC dynamics, global policy implications, and fostering international cooperation for carbon emission reductions.</p></div>","PeriodicalId":52374,"journal":{"name":"Geography and Sustainability","volume":null,"pages":null},"PeriodicalIF":8.0,"publicationDate":"2024-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666683924000610/pdfft?md5=cbf60bfad0e67f681faf106e0bf8538c&pid=1-s2.0-S2666683924000610-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142083603","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-26DOI: 10.1016/j.geosus.2024.07.002
{"title":"Geo-spatial innovations and community engagement: Charting a new course for sustainable mining","authors":"","doi":"10.1016/j.geosus.2024.07.002","DOIUrl":"10.1016/j.geosus.2024.07.002","url":null,"abstract":"","PeriodicalId":52374,"journal":{"name":"Geography and Sustainability","volume":null,"pages":null},"PeriodicalIF":8.0,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666683924000592/pdfft?md5=77f8d21e6b7217031cbbf25b1daa9f7c&pid=1-s2.0-S2666683924000592-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141840793","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-26DOI: 10.1016/j.geosus.2024.07.001
Built-up land has increased rapidly in recent decades, thus aggravating the competition for land between multiple uses. The increase in urban land can be decomposed into changes in population and changes in built-up land per person. Yet, it is unclear how this decomposition differs by country and how this decomposition changes over time. Moreover, we don’t know whether these changes affect the inequality in built-up land per capita. Here, we analyze the global distribution of built-up land per capita in the year 2020, as well as the changes therein between 1985 and 2020. We find that built-up land per capita in 2020 differs by an order of magnitude between countries, ranging from 15 m2 per person in Ethiopia to 734 m2 per person in Australia. Moreover, we find a wide range of different change trajectories, including both increases and decreases in built-up land per capita and in total population. As the total area of urban land increased in all countries, decreases in urban land consumption reflect a situation where the population increases faster than the total amount of urban land. We also find a large inequality in urban land consumption across countries, as indicated by a Gini index of 0.47 in 1985, decreasing only slightly to 0.45 in 2020. These findings suggest the need for a regionally differentiated approach to reduce urban land take, focusing first on mitigating further increases in those countries that already have a high urban land consumption.
{"title":"Global inequality in built-up land per capita and its change trajectories between 1985 and 2020","authors":"","doi":"10.1016/j.geosus.2024.07.001","DOIUrl":"10.1016/j.geosus.2024.07.001","url":null,"abstract":"<div><p>Built-up land has increased rapidly in recent decades, thus aggravating the competition for land between multiple uses. The increase in urban land can be decomposed into changes in population and changes in built-up land per person. Yet, it is unclear how this decomposition differs by country and how this decomposition changes over time. Moreover, we don’t know whether these changes affect the inequality in built-up land per capita. Here, we analyze the global distribution of built-up land per capita in the year 2020, as well as the changes therein between 1985 and 2020. We find that built-up land per capita in 2020 differs by an order of magnitude between countries, ranging from 15 m<sup>2</sup> per person in Ethiopia to 734 m<sup>2</sup> per person in Australia. Moreover, we find a wide range of different change trajectories, including both increases and decreases in built-up land per capita and in total population. As the total area of urban land increased in all countries, decreases in urban land consumption reflect a situation where the population increases faster than the total amount of urban land. We also find a large inequality in urban land consumption across countries, as indicated by a Gini index of 0.47 in 1985, decreasing only slightly to 0.45 in 2020. These findings suggest the need for a regionally differentiated approach to reduce urban land take, focusing first on mitigating further increases in those countries that already have a high urban land consumption.</p></div>","PeriodicalId":52374,"journal":{"name":"Geography and Sustainability","volume":null,"pages":null},"PeriodicalIF":8.0,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666683924000580/pdfft?md5=c77c8461a8073cf5c030500a5ffeee17&pid=1-s2.0-S2666683924000580-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141846142","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-06DOI: 10.1016/j.geosus.2024.06.004
There is 78 % permafrost and seasonal frozen soil in the Yangtze River’s Source Region (SRYR), which is situated in the middle of the Qinghai-Xizang Plateau. Three distinct scenarios were developed in the Soil and Water Assessment Tool (SWAT) to model the effects of land cover change (LCC) on various water balance components. Discharge and percolation of groundwater have decreased by mid-December. This demonstrates the seasonal contributions of subsurface water, which diminish when soil freezes. During winter, when surface water inputs are low, groundwater storage becomes even more critical to ensure water supply due to this periodic trend. An impermeable layer underneath the active layer thickness decreases GWQ and PERC in LCC + permafrost scenario. The water transport and storage phase reached a critical point in August when precipitation, permafrost thawing, and snowmelt caused LATQ to surge. To prevent waterlogging and save water for dry periods, it is necessary to control this peak flow phase. Hydrological processes, permafrost dynamics, and land cover changes in the SRYR are difficult, according to the data. These interactions enhance water circulation throughout the year, recharge of groundwater supplies, surface runoff, and lateral flow. For the region’s water resource management to be effective in sustaining ecohydrology, ensuring appropriate water storage, and alleviating freshwater scarcity, these dynamics must be considered.
{"title":"A distributed modeling approach to water balance implications from changing land cover dynamics in permafrost environments","authors":"","doi":"10.1016/j.geosus.2024.06.004","DOIUrl":"10.1016/j.geosus.2024.06.004","url":null,"abstract":"<div><p>There is 78 % permafrost and seasonal frozen soil in the Yangtze River’s Source Region (SRYR), which is situated in the middle of the Qinghai-Xizang Plateau. Three distinct scenarios were developed in the Soil and Water Assessment Tool (SWAT) to model the effects of land cover change (LCC) on various water balance components. Discharge and percolation of groundwater have decreased by mid-December. This demonstrates the seasonal contributions of subsurface water, which diminish when soil freezes. During winter, when surface water inputs are low, groundwater storage becomes even more critical to ensure water supply due to this periodic trend. An impermeable layer underneath the active layer thickness decreases GWQ and PERC in LCC + permafrost scenario. The water transport and storage phase reached a critical point in August when precipitation, permafrost thawing, and snowmelt caused LATQ to surge. To prevent waterlogging and save water for dry periods, it is necessary to control this peak flow phase. Hydrological processes, permafrost dynamics, and land cover changes in the SRYR are difficult, according to the data. These interactions enhance water circulation throughout the year, recharge of groundwater supplies, surface runoff, and lateral flow. For the region’s water resource management to be effective in sustaining ecohydrology, ensuring appropriate water storage, and alleviating freshwater scarcity, these dynamics must be considered.</p></div>","PeriodicalId":52374,"journal":{"name":"Geography and Sustainability","volume":null,"pages":null},"PeriodicalIF":8.0,"publicationDate":"2024-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S266668392400049X/pdfft?md5=88906d41cf2d6d88e29b145ddb5f0603&pid=1-s2.0-S266668392400049X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141715801","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-01DOI: 10.1016/j.geosus.2024.05.005
Lingxue Yu, Ye Liu, Fengqin Yan, Lijie Lu, Xuan Li, Shuwen Zhang, Jiuchun Yang
{"title":"Phenological control of vegetation biophysical feedbacks to the regional climate","authors":"Lingxue Yu, Ye Liu, Fengqin Yan, Lijie Lu, Xuan Li, Shuwen Zhang, Jiuchun Yang","doi":"10.1016/j.geosus.2024.05.005","DOIUrl":"https://doi.org/10.1016/j.geosus.2024.05.005","url":null,"abstract":"","PeriodicalId":52374,"journal":{"name":"Geography and Sustainability","volume":null,"pages":null},"PeriodicalIF":8.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141692471","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-01DOI: 10.1016/j.geosus.2024.05.006
Jie Su, Fanhua Kong, Haiwei Yin, Michael E. Meadows, Liding Chen, Hong S. He, Hui Sun, Zhenya Li, Kejing Zhou, Bin Chen
{"title":"Essential contribution of habitats in non-protected areas to climate-driven species migration in China","authors":"Jie Su, Fanhua Kong, Haiwei Yin, Michael E. Meadows, Liding Chen, Hong S. He, Hui Sun, Zhenya Li, Kejing Zhou, Bin Chen","doi":"10.1016/j.geosus.2024.05.006","DOIUrl":"https://doi.org/10.1016/j.geosus.2024.05.006","url":null,"abstract":"","PeriodicalId":52374,"journal":{"name":"Geography and Sustainability","volume":null,"pages":null},"PeriodicalIF":8.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141713797","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-01DOI: 10.1016/j.geosus.2024.06.003
Xin Dai, Lunche Wang, Jie Gong, Zigeng Niu, Qian Cao
{"title":"Extreme weather characteristics and influences on urban ecosystem services in Wuhan Urban Agglomeration","authors":"Xin Dai, Lunche Wang, Jie Gong, Zigeng Niu, Qian Cao","doi":"10.1016/j.geosus.2024.06.003","DOIUrl":"https://doi.org/10.1016/j.geosus.2024.06.003","url":null,"abstract":"","PeriodicalId":52374,"journal":{"name":"Geography and Sustainability","volume":null,"pages":null},"PeriodicalIF":8.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141706548","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}